Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries
Explore the source record for details and available documents.
Juan Fernández↗
SEARCH · Engineering Papers
Results for “Physics Informed”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems
Explore the source record for details and available documents.
Material Science↗
CycleFCN: A Physics-Informed Data-driven Seismic Waveform Inversion Method
Explore the source record for details and available documents.
Computer Science↗
Physics-informed data assimilation and data-driven reduced order model
Explore the source record for details and available documents.
Mathematics and Computing↗
Unsupervised and Physics-Informed Machine Learning Analyses for Characterization of Energy Production from Unconventional Reservoirs
Explore the source record for details and available documents.
Earth Sciences↗
Physics-informed machine learning-aided framework for CASL challenge problem solving—a demonstration and prospects
Explore the source record for details and available documents.
Zhao, Xingang↗
Use of physics to improve solar forecast: Physics-informed persistence models for simultaneously forecasting GHI, DNI, and DHI
Explore the source record for details and available documents.
54 ENVIRONMENTAL SCIENCES↗
Physics-informed deep learning for prediction of CO2 storage site response
Presented at the DOE-NETL 2020 Virtual Meeting - SMART Initiative Annual Review Meeting November 2-3, 2020, 11/2
Shokouhi, Parisa↗
Physics-informed Data-driven Machine Learning Approach for Mesoscale Materials Science
Explore the source record for details and available documents.
Pokharel, Reeju↗
Nonlocal Physics-Informed Neural Networks: A unified theoretical and computational framework for nonlocal models.
Abstract not provided.
D'Elia, Marta↗
Unsupervised and Physics-Informed Machine learning in Geosciences
Explore the source record for details and available documents.
Earth Sciences↗
Physics-informed graph neural nets (pigNNS) A unification of NN architectures with mimetic PDE discretization.
Abstract not provided.
Trask, Nathaniel Albert↗
Physics-informed graph neural netsA unification of NN architectures with mimetic PDE discretization.
Abstract not provided.
Trask, Nathaniel Albert↗
Applications of physics-informed scientific machine learning in subsurface science: A survey.
Abstract not provided.
Sun, Alexander Y↗
Physics-Informed Graph Neural Network for Circuit Compact Model Development.
Abstract not provided.
Gao, Xujiao↗
Physics-informed deep learning with uncertainty quantification for weapons radiography, NLV-003-21, Year 1 of 2
Presentation to be presented during the Site-Directed Research and Development (SDRD) Program FY 2021 Review Meeting (webex), September 22–23, 2021.
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗
Physics-Informed Graph Neural Network for Circuit Compact Model Development.
Abstract not provided.
Gao, Xujiao↗